BACKGROUND:In China,the patient population with osteonecrosis is large,and there is an urgent need to find new preventive targets to develop more effective treatment strategies.Metabolomics studies have shown that there is an association between human metabolites and osteonecrosis,but the causal relationship between blood metabolites and osteonecrosis has not yet been clarified.OBJECTIVE:To investigate the causal relationship between blood metabolites and osteonecrosis through two-sample Mendelian randomization analysis.METHODS:The public data of 486 blood metabolites(exposure factors)and osteonecrosis(outcome factors)were collected.Data of 486 blood metabolites were derived from a genome-wide association estimate for blood metabolites published in Nature Genetics in 2014,which covered 7 824 European adults.The single nucleotide polymorphism data for osteonecrosis were obtained from the FinnGen public database R11 dataset,containing information on a total of 431 614 samples and 21 306 430 single nucleotide polymorphism loci,with 1 788 cases of osteonecrosis and 429 826 controls,with all participants being of European descent.Mendelian randomization analysis(inverse variance weighting method,MR-Egger method,and weighted median method)was performed by Rstudio software,and then the heterogeneity test,horizontal pleiotropy test and Steiger directionality test were performed to ensure the robustness and reliability of the results.RESULTS AND CONCLUSION:(1)Sixteen blood metabolites were identified as having a significant causal relationship with osteonecrosis(Pinverse variance weighting＜Pfalse discovery rate＜0.05).(2)Eight blood metabolites increased the risk of osteonecrosis(including four known metabolites and four unknown metabolites),specifically pantothenate,beta-hydroxyisovalerate,hippurate,salicyluric glucuronide,X-08766,X-11452,X-12776 and X-14662.(3)Eight blood metabolites could reduce the risk of osteonecrosis(six known metabolites and two unknown metabolites),including cortisol,1-palmitoylglycerol(1-monopalmitin),pyroglutamyl glycine,2-stearoylglycerophosphocholine,p-cresol sulfate,ergothioneine,X-06307,X-12092.(4)The above results suggest that there is a causal relationship between 16 blood metabolites and osteonecrosis,which is expected to be a potential target for intervention in the occurrence and treatment of osteonecrosis in the future.(5)Despite the lack of relevant data from large-scale Asian populations at present,this study provides important reference value for the field of osteonecrosis in China based on European population data.In the future,domestic medical workers may be able to achieve precise intervention for osteonecrosis by regulating metabolite levels.In addition,based on the results of this study,relevant researchers can further explore the mechanism of action of metabolites in the treatment of osteonecrosis with traditional Chinese medicine,which not only helps to deepen the understanding of traditional Chinese medical therapies but also promotes the progress of integrated traditional Chinese and Western medicine research,driving the development of personalized treatment plans that are more suitable for the characteristics of the Chinese population.

BACKGROUND:In China,the patient population with osteonecrosis is large,and there is an urgent need to find new preventive targets to develop more effective treatment strategies.Metabolomics studies have shown that there is an association between human metabolites and osteonecrosis,but the causal relationship between blood metabolites and osteonecrosis has not yet been clarified.OBJECTIVE:To investigate the causal relationship between blood metabolites and osteonecrosis through two-sample Mendelian randomization analysis.METHODS:The public data of 486 blood metabolites(exposure factors)and osteonecrosis(outcome factors)were collected.Data of 486 blood metabolites were derived from a genome-wide association estimate for blood metabolites published in Nature Genetics in 2014,which covered 7 824 European adults.The single nucleotide polymorphism data for osteonecrosis were obtained from the FinnGen public database R11 dataset,containing information on a total of 431 614 samples and 21 306 430 single nucleotide polymorphism loci,with 1 788 cases of osteonecrosis and 429 826 controls,with all participants being of European descent.Mendelian randomization analysis(inverse variance weighting method,MR-Egger method,and weighted median method)was performed by Rstudio software,and then the heterogeneity test,horizontal pleiotropy test and Steiger directionality test were performed to ensure the robustness and reliability of the results.RESULTS AND CONCLUSION:(1)Sixteen blood metabolites were identified as having a significant causal relationship with osteonecrosis(Pinverse variance weighting＜Pfalse discovery rate＜0.05).(2)Eight blood metabolites increased the risk of osteonecrosis(including four known metabolites and four unknown metabolites),specifically pantothenate,beta-hydroxyisovalerate,hippurate,salicyluric glucuronide,X-08766,X-11452,X-12776 and X-14662.(3)Eight blood metabolites could reduce the risk of osteonecrosis(six known metabolites and two unknown metabolites),including cortisol,1-palmitoylglycerol(1-monopalmitin),pyroglutamyl glycine,2-stearoylglycerophosphocholine,p-cresol sulfate,ergothioneine,X-06307,X-12092.(4)The above results suggest that there is a causal relationship between 16 blood metabolites and osteonecrosis,which is expected to be a potential target for intervention in the occurrence and treatment of osteonecrosis in the future.(5)Despite the lack of relevant data from large-scale Asian populations at present,this study provides important reference value for the field of osteonecrosis in China based on European population data.In the future,domestic medical workers may be able to achieve precise intervention for osteonecrosis by regulating metabolite levels.In addition,based on the results of this study,relevant researchers can further explore the mechanism of action of metabolites in the treatment of osteonecrosis with traditional Chinese medicine,which not only helps to deepen the understanding of traditional Chinese medical therapies but also promotes the progress of integrated traditional Chinese and Western medicine research,driving the development of personalized treatment plans that are more suitable for the characteristics of the Chinese population.

Disruption of normal secretion or mucociliary clearance can impair airway defense mechanisms and lung function, and increase the risk of infection. Airway clearance techniques are recommended as part of a comprehensive treatment plan for patients. Among these, vibratory expectoration is an important method of airway clearance, which loosens and liquefies mucus and metabolites on the surface of the respiratory tract through chest wall oscillation, promoting ciliary movement to facilitate sputum expulsion. However, commonly used handheld vibrating head devices and vest-type vibration expectorators have several limitations in clinical practice, such as inconvenience of operation, limited treatment time, poor adaptability, and difficulty in disinfection. To address these issues, the research team from the department of critical care medicine at Ruijin Hospital, Shanghai Jiao Tong University, has designed a novel belt-type vibration expectorator, which has been granted a national utility model patent (Patent No.: ZL 2023 2 1610983.1). The device is mainly composed of a chest strap assembly, a sputum clearance component, and a fixed shoulder strap component. Several pockets are placed on the outer surface of the chest strap, with corresponding inner-side openings that allow the percussion head of the percussive expectorator placed inside the pocket to make contact with the patient's chest wall. Each pocket has markings indicating the percussion position, enabling the placement of the percussive expectorator according to the location of infection, thereby achieving multi-point, precise percussive vibration expectoration in different body positions. On the inner side of the chest strap, there are diagrams illustrating postural drainage, providing guidance on the body positions patients should assume based on the location of infection. The hook-and-loop fasteners on both sides of the chest strap can be wrapped around and secured according to the patient's body shape, ensuring that the sputum clearance components adhere tightly to the chest wall, allowing the vibrations generated by percussion to be effectively transmitted to the patient's airways. Additionally, to prevent the chest strap from slipping due to changes in the patient's position, a Y-shaped fixing strap can be selectively attached to the chest strap for further stabilization. This innovation not only simplifies the operation process, improves convenience and flexibility of use, but also supports the principle of "disinfection after each use by one person," which helps to reduce the risk of nosocomial infections and improve the efficiency of patients' respiratory rehabilitation.
Humans ; Vibration ; Equipment Design ; Chest Wall Oscillation/instrumentation* ; Sputum ; Expectorants ; Mucociliary Clearance

Objective:To evaluate the impact of short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves on the risk of road traffic mortality and calculate the attributable mortality burden.Methods:This study collected road traffic mortality data from the Disease Surveillance System in Guangdong, Hunan, Zhejiang, Yunnan, and Jilin Provinces from 2013 to 2018. A time-stratified case-crossover design was used in this study, with the death date for each case serving as the case day. Control days were selected from the same year, month, and day of the week as the case day. A conditional logistic regression model was employed to estimate the cumulative associations of short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves on the risk of road traffic mortality (lag 0-1 day) and to calculate the attributable fractions (AF).Results:Compared to non-heatwave days, the excess risk ( ER) of road traffic mortality on daytime heatwave days, nighttime heatwave days, and compound heatwave days was 5.3% (95% CI: 0.5%-10.2%), 4.9% (95% CI: 0.5%-9.4%) and 7.5% (95% CI: 2.3%- 12.9%), with corresponding AF of 5.0% (95% CI: 0.5%-9.3%), 4.7% (95% CI: 0.5%-8.6%), and 6.9% (95% CI: 2.3%-11.4%), respectively. Stratified analysis showed that the risk of traffic mortalities caused by daytime heatwaves was higher in females ( ER=15.7%, 95% CI: 5.8%-26.5%) than in males ( ER=1.8%, 95% CI: -3.6%-7.4%). Elderly individuals over 64 years old ( ER=10.9%, 95% CI: 0.3%- 22.6%) had a higher risk of road traffic mortalities from compound heatwaves than those under 45 years old ( ER=2.6%, 95% CI: -5.4%-11.2%). The risk of road traffic injury mortality from motor vehicle accidents caused by compound heatwaves ( ER=16.6%, 95% CI:2.4%-32.7%) was higher than that from non-motor vehicle accidents ( ER=5.7%, 95% CI:0.1%-11.5%). Conclusions:Short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves was associated with an increased risk of road traffic mortality, with the strongest association observed for compound heatwaves. The mortality burden attributable to compound heatwaves was higher than that for daytime and nighttime heatwaves. Heatwaves were more significantly associated with road traffic mortality risk among females, elderly individuals over 64 years old, and motor vehicle accidents.

Objective To investigate the impact of sleep modes on the risk for diseases of the body systems.Methods Based on a subset of UK Biobank dataset comprising 87 617 participants,3 sleep dimensions including 6 sleep indicators were obtained through a wrist-worn accelerometer,that is sleep duration and onset,sleep rhythm(relative amplitude and stability),and sleep quality(sleep efficiency and number of awakenings).Latent profile analysis(LPA)was applied to identify and classify distinct sleep modes.Then their longitudinal medical records were the association between different sleep modes and the risk for 467 diseases.Results LPA identified 5 subgroups of unique sleep modes in the participants.Among the 5 subgroups,the subgroup 4 had relatively optimal levels in above sleep indicators.Compared to the subgroup 4,the other 4 subgroups exhibited variations in different sleep dimensions,with at least one indicator demonstrating an unfavorable trend.These subgroups also revealed differences in racial composition,shift work and social deprivation index.Moreover,there were notable differences in the risk of various system diseases among the subgroups(P<0.05).When compared to the subgroup 4,the other 4 subgroups exhibited an elevated risk for certain diseases(comprising a total of 126 diseases),with the diseases of the circulatory system,digestive system and musculoskeletal system most common.Among the 5 subgroups,the subgroup 2(shorter sleep duration and later sleep onset)and the subgroup 5(rhythm disorder)had the highest counts of associated risks,amounting to 85 and 91 types,respectively,but there was certain difference in their systematic composition.Conclusion There are different sleep modes within the participants,and the modes are potentially associated with an increased risk for diseases of body systems.Comprehensive interventions targeting overall sleep modes rather than single sleep indicator may yield obvious health benefits.

Objective:To explore the diagnostic value of transvaginal color Doppler sonography (TVCDS) combined with serum allograft inflammatory factor-1 (AIF-1) and pyruvate kinase M2 type (PKM2) in cervical cancer.Methods:From Jan. 2022 to Jun. 2024, 168 patients with early cervical cancer who visited Taizhou Central Hospital were regarded as the cervical cancer group, and 96 patients with cervical precancerous lesions were regarded as the precancerous lesion group. All patients underwent TVCDS examination to obtain parameters such as peak systolic velocity (PSV), end diastolic velocity (EDV), and resistance index (RI). ELISA method was used to detect serum AIF-1 and PKM2 levels. Kappa test was used to analyze the consistency between different diagnostic methods and pathological results. ROC curve was used to analyze the diagnostic value of serum AIF-1 and PKM2 levels for cervical cancer.Results:The cervical cancer group had manifestly higher proportions of irregular morphology, unclear boundaries, low echo ratio, and levels of PSV, EDV, AIF-1, and PKM2 than precancerous lesion group, and manifestly lower RI than precancerous lesion group ( P<0.05). The consistency analysis between TVCDS diagnosis of cervical cancer and pathological results showed a Kappa value of 0.674 ( P<0.05). The serum levels of AIF-1 and PKM2 in cervical cancer patients with a maximum tumor diameter of ≥ 4 cm, low differentiation, and vaginal infiltration were manifestly higher than those in patients with a maximum tumor diameter of < 4 cm, medium/high differentiation, and non vaginal infiltration ( P<0.05). The AUC of AIF-1 and PKM2 in the diagnosis of cervical cancer was 0.824 and 0.816, respectively, with diagnostic thresholds of 81.21 ng/L and 29.26 ng/mL. The consistency analysis of TVCDS combined with serum AIF-1 and PKM2 in the diagnosis of cervical cancer and pathological results showed a Kappa value of 0.918 ( P<0.05). The negative predictive value, accuracy, and sensitivity of TVCDS combined with serum AIF-1 and PKM2 in the diagnosis of cervical cancer were higher than those of each indicator alone, and the positive predictive value and specificity were higher than those of AIF-1 alone ( P<0.05) . Conclusion:TVCDS combined with serum AIF-1 and PKM2 has high accuracy and sensitivity in the diagnosis of cervical cancer, and their combination can serve as a potential method for clinical diagnosis of cervical cancer.

Objective:To explore the diagnostic value of transvaginal color Doppler sonography (TVCDS) combined with serum allograft inflammatory factor-1 (AIF-1) and pyruvate kinase M2 type (PKM2) in cervical cancer.Methods:From Jan. 2022 to Jun. 2024, 168 patients with early cervical cancer who visited Taizhou Central Hospital were regarded as the cervical cancer group, and 96 patients with cervical precancerous lesions were regarded as the precancerous lesion group. All patients underwent TVCDS examination to obtain parameters such as peak systolic velocity (PSV), end diastolic velocity (EDV), and resistance index (RI). ELISA method was used to detect serum AIF-1 and PKM2 levels. Kappa test was used to analyze the consistency between different diagnostic methods and pathological results. ROC curve was used to analyze the diagnostic value of serum AIF-1 and PKM2 levels for cervical cancer.Results:The cervical cancer group had manifestly higher proportions of irregular morphology, unclear boundaries, low echo ratio, and levels of PSV, EDV, AIF-1, and PKM2 than precancerous lesion group, and manifestly lower RI than precancerous lesion group ( P<0.05). The consistency analysis between TVCDS diagnosis of cervical cancer and pathological results showed a Kappa value of 0.674 ( P<0.05). The serum levels of AIF-1 and PKM2 in cervical cancer patients with a maximum tumor diameter of ≥ 4 cm, low differentiation, and vaginal infiltration were manifestly higher than those in patients with a maximum tumor diameter of < 4 cm, medium/high differentiation, and non vaginal infiltration ( P<0.05). The AUC of AIF-1 and PKM2 in the diagnosis of cervical cancer was 0.824 and 0.816, respectively, with diagnostic thresholds of 81.21 ng/L and 29.26 ng/mL. The consistency analysis of TVCDS combined with serum AIF-1 and PKM2 in the diagnosis of cervical cancer and pathological results showed a Kappa value of 0.918 ( P<0.05). The negative predictive value, accuracy, and sensitivity of TVCDS combined with serum AIF-1 and PKM2 in the diagnosis of cervical cancer were higher than those of each indicator alone, and the positive predictive value and specificity were higher than those of AIF-1 alone ( P<0.05) . Conclusion:TVCDS combined with serum AIF-1 and PKM2 has high accuracy and sensitivity in the diagnosis of cervical cancer, and their combination can serve as a potential method for clinical diagnosis of cervical cancer.

Objective:To evaluate the impact of short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves on the risk of road traffic mortality and calculate the attributable mortality burden.Methods:This study collected road traffic mortality data from the Disease Surveillance System in Guangdong, Hunan, Zhejiang, Yunnan, and Jilin Provinces from 2013 to 2018. A time-stratified case-crossover design was used in this study, with the death date for each case serving as the case day. Control days were selected from the same year, month, and day of the week as the case day. A conditional logistic regression model was employed to estimate the cumulative associations of short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves on the risk of road traffic mortality (lag 0-1 day) and to calculate the attributable fractions (AF).Results:Compared to non-heatwave days, the excess risk ( ER) of road traffic mortality on daytime heatwave days, nighttime heatwave days, and compound heatwave days was 5.3% (95% CI: 0.5%-10.2%), 4.9% (95% CI: 0.5%-9.4%) and 7.5% (95% CI: 2.3%- 12.9%), with corresponding AF of 5.0% (95% CI: 0.5%-9.3%), 4.7% (95% CI: 0.5%-8.6%), and 6.9% (95% CI: 2.3%-11.4%), respectively. Stratified analysis showed that the risk of traffic mortalities caused by daytime heatwaves was higher in females ( ER=15.7%, 95% CI: 5.8%-26.5%) than in males ( ER=1.8%, 95% CI: -3.6%-7.4%). Elderly individuals over 64 years old ( ER=10.9%, 95% CI: 0.3%- 22.6%) had a higher risk of road traffic mortalities from compound heatwaves than those under 45 years old ( ER=2.6%, 95% CI: -5.4%-11.2%). The risk of road traffic injury mortality from motor vehicle accidents caused by compound heatwaves ( ER=16.6%, 95% CI:2.4%-32.7%) was higher than that from non-motor vehicle accidents ( ER=5.7%, 95% CI:0.1%-11.5%). Conclusions:Short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves was associated with an increased risk of road traffic mortality, with the strongest association observed for compound heatwaves. The mortality burden attributable to compound heatwaves was higher than that for daytime and nighttime heatwaves. Heatwaves were more significantly associated with road traffic mortality risk among females, elderly individuals over 64 years old, and motor vehicle accidents.

Exosomes (exos), nanoscale extracellular vesicles, play a critical role in tissue development and function. Stem cell-derived exos, containing various tissue repair components, show promise as natural therapeutic agents in disease treatment and regenerative medicine. However, challenges persist in their application, particularly in targeted delivery and controlled release, which are crucial for enhancing their biological efficacy. The integration of medical devices may provide a superior platform for improving drug bioavailability. Consequently, the combination products of stem cell-derived exos and medical devices present novel opportunities for expanding the therapeutic potential of exosomes. This review offers a comprehensive overview of the current research frontier in stem cell-derived exos combined with medical devices and discusses the prospective challenges and future prospects in this field.
Animals ; Humans ; Drug Delivery Systems ; Equipment and Supplies ; Exosomes/metabolism* ; Regenerative Medicine/methods* ; Stem Cells/metabolism*

Mild cognitive impairment(MCI)is often regarded as a prodromal stage of dementia,primarily characterized by mild decline in cognitive function.Due to the mild nature of its symptoms,many MCI cases miss the opportunity for intervention.Research indicates that linguistic changes in MCI may precede other cognitive symptoms,providing an opportunity for early identification and intervention.These linguistic changes include abnormalities in speech rate,pronunciation,and intonation.Speech repetition tasks,such as the five-word test,delayed digit matching,and sentence repetition tests,are effective methods for assessing the speech characteristics of MCI patients.These tasks involve asking patients to repeat specific content,and analyzing the accuracy of their repetitions to assess their speech function.The application of machine learning and deep learning techniques enables automatic extraction of MCI-related features from speech data,improving diagnostic accuracy.The combined application of these techniques contributes to the early detection of MCI,providing a basis for timely intervention.